From e1f7966364fc54d05ddb257f3d06b50da31cf87c Mon Sep 17 00:00:00 2001 From: Arity-T Date: Sat, 30 Nov 2024 18:55:13 +0300 Subject: [PATCH] =?UTF-8?q?=D0=94=D0=BE=D0=B1=D0=B0=D0=B2=D0=B8=D0=BB=20?= =?UTF-8?q?=D1=81=D1=81=D1=8B=D0=BB=D0=BA=D1=83=20=D0=BD=D0=B0=20=D0=B5?= =?UTF-8?q?=D1=89=D1=91=20=D0=BE=D0=B4=D0=BD=D1=83=20=D1=81=D1=82=D0=B0?= =?UTF-8?q?=D1=82=D1=8C=D1=8E?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- report.tex | 2 ++ 1 file changed, 2 insertions(+) diff --git a/report.tex b/report.tex index 856ebeb..fe65767 100644 --- a/report.tex +++ b/report.tex @@ -304,6 +304,8 @@ Lu Guo, Wei Wang, Xiaodong Xie, Shuihua Wang, Yudong Zhang, Machine learning-based models for genomic predicting neoadjuvant chemotherapeutic sensitivity in cervical cancer, 2023. \bibitem{tabular} Ahmad Nasimian, Mehreen Ahmed, Ingrid Hedenfalk, Julhash U. Kazi, A deep tabular data learning model predicting cisplatin sensitivity identifies BCL2L1 dependency in cancer, 2023. + \bibitem{deep} + James Longden, Xavier Robin, Mathias Engel, Jesper Ferkinghoff-Borg, Ida Kjær, Ivan D. Horak, Mikkel W. Pedersen, Rune Linding, Deep neural networks identify signaling mechanisms of ErbB-family drug resistance from a continuous cell morphology space, 2021. \bibitem{cellprofile} T. Misteli, C. McQuin, A. Goodman, V. Chernyshev, L. Kamentsky, B.A. Cimini, et al., CellProfiler 3.0: next-generation image processing for biology, 2018. \bibitem{tcga}